An ad hoc panel of nationally renowned experts in social science research, computing technology, statistical methods, privacy, and use of alternative data sources in the United States and abroad will ...
Imputation methods provide essential statistical tools for addressing missing data, thereby minimising bias and enhancing the reliability of parameter estimates. In statistical estimation, missing ...
The detection and treatment of outliers in data has represented an important area of research. The general approach that has been adopted involves observing that ...
When variables like air pollution levels or precipitation change across different locations, common methods for generating confidence intervals may claim a high level of confidence, when in fact, the ...
Statistical Science, Vol. 27, No. 4, Special Issue on Sparsity and Regularization Methods (November 2012), pp. 558-575 (18 pages) Consider a regression model with fixed design and Gaussian noise where ...
Description: An introduction to probability theory and the basic statistical estimation methods. Topics include: axiomatic development of probability theory, counting methods, conditional probability ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback